ZONN.ai Forensic Report
Case · 732C147D · IMAGE
Probably real
More signals lean toward real than AI, but some give weaker readings. Worth a second look on close inspection.
Analysed Specimen
Heads up — 2 things to know
Why this analysis might be off
We highlight every disagreement and unusual signal we found so you can judge for yourself. Stronger warnings come first; informational notes are at the bottom.
Upsampling artifacts in the frequency domain
AI evidenceFFT analysis found strong upsampling patterns — a fingerprint of diffusion-model VAE decoders (latent → pixel-space upscale).
One detector was unreachable
NoteMl Python Siglip did not respond during this analysis. The other detectors ran normally.
Origin Check
Trace this image elsewhere
Cross-reference the source against major reverse-image services. Each link opens in a new tab with the image URL preloaded — ZONN.ai does not re-upload the image.
Google Lens
Yandex
TinEye
Bing VisualWhy this verdict
- Bombek1 SigLIP+DINOv2read real · 6/100
SigLIP2 + DINOv2 LoRA ensemble fine-tuned on OpenFake (25+ modern generators).
- INA v2 (FLUX/MJ)flagged AI · 81/100
BEiT-Large dual-head classifier trained on FLUX, Midjourney, and real photo corpora.
Model Agreement
Variance across 6 ML detectors. Higher agreement means the models converged on the same reading; lower agreement means treat the verdict with care.
Evidence — 16 detectors reviewed
What each detector saw
Each detector independently gave this imagea score from 0 (definitely real) to 100 (definitely AI). The score above is their weighted consensus — detectors with higher confidence count more. No single detector decides; you read the spread.
ML Models6 detectors · mean 41▸ expand▾ collapse
Pixel & Frequency Forensics7 detectors · mean 49▸ expand▾ collapse
Provenance & Metadata3 detectors · mean 54▸ expand▾ collapse
Image Quality
- Dimensions
- 1105 × 1423 px
- Aspect
- 0.777
- File size
- 195.4 KB
- Bytes / pixel
- 0.127
Frequency Analysis
Edge Consistency
Per-region edge density (4 × 4 grid). Uneven distribution may indicate localized editing or splicing; uniform fields are typical of fully synthetic outputs.
Range: 2.7829 – 29.4352
Noise Fingerprint
- Variance
- 85.15
- Std deviation
- 9.23
- Mean
- 0.0
- Spatial corr.
- 2.681
- Mean Δ
- 1.70
- σ
- 1.89
- CV
- 1.113
- Uniformity
- -0.113